Landslide susceptibility mapping and management in Western Serbia: an analysis of ANFIS- and SVM-based hybrid models

Landslide susceptibility mapping and management in Western Serbia: an analysis of ANFIS- and SVM-based hybrid models

Landslide susceptibility mapping (LSM) is essential for land-use planning, as it helps to identify areas at risk of landslides and enables effective prevention measures to be taken. Various statistical and machine learning (ML) models are used in LSM, including SVM and ANFIS, which have shown promis...

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Bibliographic Details
Main Authors: Ismail Elkhrachy, Rajeev Ranjan Yadav, Ali Nouh Mabdeh, Phong Nguyen Thanh, Velibor Spalevic, Branislav Dudic
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Environmental Science
Subjects:
landslide
mapping
machine learning
hybrid models
support vector machine
meta-heuristic models
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2023.1218954/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2023.1218954/full

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